What is Data Science?

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
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100%オンライン

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

初級レベル

修了時間

約6時間で修了

推奨：3 weeks of study, 2-3 hours/week...

利用可能な言語

英語

字幕：英語, アラビア語

100%オンライン

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

初級レベル

修了時間

約6時間で修了

推奨：3 weeks of study, 2-3 hours/week...

利用可能な言語

英語

字幕：英語, アラビア語

シラバス - 本コースの学習内容

週

1

修了時間

2時間で修了

Defining Data Science and What Data Scientists Do

In this module, you will go over the course syllabus to learn what will be taught in this course. Also, you will hear from data science professionals to learn what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will be required to complete a reading assignment to learn why data science is considered the sexiest job in the 21st century.

Data Science Topics

In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing, at New York University, as he talks about data science and what skills are required for anyone interested in pursuing a career in this field and as he gives advice to those who are looking to start a career in data science. Finally, you will be required to complete reading assignments to learn about the process of mining a given dataset and about regression analysis.

Data Science in Business

In this module, you will learn about what companies need to do in order to start with data science. You will also learn about some of the qualities that differentiate data scientists from other professionals. In addition, you will learn about analytics and what important role data scientists play in this process, and about story-telling and the importance of an effective final deliverable. Finally, you will be required to apply what you learned about data science by answering open-ended questions.

講師

IBMについて

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....